PUMA: a unified framework for penalized multiple regression analysis of GWAS data
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Integrating dynamic mixed-effect modelling and penalized regression to explore genetic association with pharmacokineticsRegularized Machine Learning in the Genetic Prediction of Complex TraitsNext Generation Statistical Genetics: Modeling, Penalization, and Optimization in High-Dimensional Data.Sparse models for correlative and integrative analysis of imaging and genetic datapLARmEB: integration of least angle regression with empirical Bayes for multilocus genome-wide association studies.LOAD-ENHANCED MOVEMENT QUALITY SCREENING AND TACTICAL ATHLETICISM: AN EXTENSION OF EVIDENCE.Penalized multimarker vs. single-marker regression methods for genome-wide association studies of quantitative traits.Analyzing genome-wide association studies with an FDR controlling modification of the Bayesian Information Criterion.Genome-wide association analysis in dogs implicates 99 loci as risk variants for anterior cruciate ligament rupture.Combining Multiple Hypothesis Testing with Machine Learning Increases the Statistical Power of Genome-wide Association Studies.Joint genotype- and ancestry-based genome-wide association studies in admixed populations.Detecting genetic association through shortest paths in a bidirected graph.Resampling-based tests for Lasso in genome-wide association studiesAn Efficient Nonlinear Regression Approach for Genome-wide Detection of Marginal and Interacting Genetic Variations.Genetic dissection of Sharka disease tolerance in peach (P. persica L. Batsch).Bayesian and frequentist analysis of an Austrian genome-wide association study of colorectal cancer and advanced adenomas.
P2860
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P2860
PUMA: a unified framework for penalized multiple regression analysis of GWAS data
description
2013 nî lūn-bûn
@nan
2013 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
PUMA: a unified framework for penalized multiple regression analysis of GWAS data
@ast
PUMA: a unified framework for penalized multiple regression analysis of GWAS data
@en
type
label
PUMA: a unified framework for penalized multiple regression analysis of GWAS data
@ast
PUMA: a unified framework for penalized multiple regression analysis of GWAS data
@en
prefLabel
PUMA: a unified framework for penalized multiple regression analysis of GWAS data
@ast
PUMA: a unified framework for penalized multiple regression analysis of GWAS data
@en
P2093
P2860
P1476
PUMA: a unified framework for penalized multiple regression analysis of GWAS data
@en
P2093
Benjamin A Logsdon
Gabriel E Hoffman
Jason G Mezey
P2860
P304
P356
10.1371/JOURNAL.PCBI.1003101
P577
2013-06-27T00:00:00Z